| Ecosystem | 1 | 0 |
| Match Graph | 0 | 0 |
| Pricing | Free | Free |
| Capabilities | 5 decomposed | 9 decomposed |
| Times Matched | 0 | 0 |
This capability allows AI agents to authenticate using a Civic-issued bearer token, enabling secure access to over 80 tools. The authentication process leverages OAuth 2.0 standards, ensuring that each agent's identity is verified before any tool interaction occurs. This design choice enhances security by ensuring that only authenticated agents can make API calls, which is distinct from traditional methods that may not enforce identity verification.
Unique: Utilizes OAuth 2.0 for agent authentication, ensuring a standardized and secure method for identity verification.
vs alternatives: More secure than traditional API key methods as it provides scoped access and revocation capabilities.
This capability allows developers to grant specific permissions to agents, limiting their access to only the tools necessary for their tasks. It uses a role-based access control (RBAC) model to define and enforce these permissions, ensuring that agents cannot exceed their granted scopes. This approach is distinct because it combines fine-grained access control with a centralized management interface, making it easier to manage permissions across multiple tools.
Unique: Combines RBAC with a centralized dashboard for easy management of agent permissions across tools.
vs alternatives: More intuitive than manual permission management systems, reducing the risk of over-permissioning.
This capability logs every tool call made by agents, capturing the agent's identity, the tool accessed, and the timestamp of the call. It employs a centralized logging service that aggregates logs from all tool interactions, providing a comprehensive audit trail. This is distinct as it not only logs actions but also ties them back to specific agent identities, enhancing accountability and traceability.
Unique: Integrates logging directly with agent identities, providing a detailed audit trail that enhances accountability.
vs alternatives: More comprehensive than standard logging solutions that do not link actions to specific identities.
This capability allows administrators to revoke access tokens issued to agents, immediately preventing further tool access. It utilizes a token management system that tracks the status of each token and provides an interface for revocation. This is unique because it allows real-time control over agent access, which is not commonly found in traditional API management solutions.
Unique: Provides real-time revocation capabilities that immediately affect agent access, enhancing security responsiveness.
vs alternatives: Faster and more reliable than traditional methods that may require manual intervention to revoke access.
This capability allows users to set up guardrails for agent interactions with tools, including rate limits, approval workflows, and deny lists. It employs a configuration interface that allows administrators to define these parameters and applies them dynamically during tool calls. This is distinct because it provides a user-friendly way to enforce operational policies without needing extensive coding or manual oversight.
Unique: Offers a visual configuration interface for guardrails, making it accessible for non-technical users to enforce policies.
vs alternatives: More user-friendly than traditional guardrail implementations that require extensive coding or technical knowledge.
Executes SQL queries against Supabase PostgreSQL instances through the Model Context Protocol, translating natural language or structured query requests into parameterized SQL statements. Uses MCP's tool-calling interface to expose database operations as callable functions with schema validation, enabling LLM agents to perform CRUD operations, joins, and aggregations with automatic connection pooling and credential management through Supabase client SDK.
Unique: Exposes Supabase PostgreSQL as MCP tools with automatic credential injection from Supabase client SDK, eliminating manual connection string management and enabling seamless LLM-to-database queries within Claude or compatible agents
vs alternatives: Tighter integration than generic SQL MCP servers because it leverages Supabase's built-in authentication and connection pooling rather than requiring separate database credential configuration
Exposes Supabase Auth session state and user metadata through MCP tools, allowing agents to inspect current authentication context, retrieve user profiles, and trigger auth-related operations. Integrates with Supabase's JWT-based auth system to validate sessions and access user claims without re-authenticating, using the Supabase client's built-in session management.
Unique: Integrates Supabase's JWT-based auth system directly into MCP tool interface, allowing agents to inspect and act on auth state without managing separate credential stores or re-authentication flows
vs alternatives: More seamless than generic auth MCP servers because it leverages Supabase's built-in session management and avoids redundant credential passing between agent and auth system
Invokes Supabase Edge Functions (serverless TypeScript/JavaScript functions) through MCP tools, passing parameters and receiving results with optional streaming support. Uses Supabase's edge function HTTP API to trigger functions with automatic authentication headers and response parsing, enabling agents to execute custom business logic without embedding it in the agent itself.
Supabase scores higher at 42/100 vs civic-mcp-gateway at 30/100.
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Unique: Exposes Supabase Edge Functions as MCP tools with automatic authentication and response parsing, allowing agents to invoke custom serverless logic without managing HTTP clients or credential injection
vs alternatives: More integrated than generic HTTP MCP tools because it handles Supabase-specific authentication, error handling, and response formatting automatically
Subscribes to real-time changes on Supabase tables through MCP's event streaming interface, using Supabase's PostgreSQL LISTEN/NOTIFY mechanism to push INSERT, UPDATE, and DELETE events to agents. Maintains persistent WebSocket connections and filters events by table and row-level policies, enabling agents to react to database changes without polling.
Unique: Bridges Supabase's PostgreSQL LISTEN/NOTIFY real-time system with MCP's tool interface, enabling agents to subscribe to database changes without managing WebSocket connections or event serialization
vs alternatives: More efficient than polling-based approaches because it uses Supabase's native real-time infrastructure rather than repeated database queries
Manages files in Supabase Storage buckets through MCP tools, supporting upload, download, list, and delete operations with automatic authentication and path-based access control. Uses Supabase's S3-compatible storage API with built-in support for public/private buckets and signed URLs for temporary access, enabling agents to handle file I/O without managing cloud storage credentials.
Unique: Exposes Supabase Storage's S3-compatible API as MCP tools with automatic authentication and signed URL generation, eliminating the need for agents to manage cloud storage credentials or generate temporary access tokens
vs alternatives: More integrated than generic S3 MCP tools because it leverages Supabase's built-in bucket policies and authentication rather than requiring separate AWS credentials
Performs semantic similarity searches on vector embeddings stored in Supabase PostgreSQL using pgvector extension, translating natural language queries into embedding vectors and executing cosine/L2 distance searches. Integrates with embedding providers (OpenAI, Cohere) or uses pre-computed embeddings, enabling agents to retrieve semantically similar documents or records without full-text search limitations.
Unique: Integrates pgvector directly into MCP tools with automatic embedding generation and distance calculation, enabling agents to perform semantic search without managing separate vector database infrastructure
vs alternatives: More efficient than external vector databases (Pinecone, Weaviate) for Supabase users because it colocates embeddings with relational data, reducing network latency and simplifying data synchronization
Exposes Supabase database schema information through MCP tools, allowing agents to discover table structures, column types, constraints, and relationships without manual schema documentation. Queries PostgreSQL information_schema and Supabase metadata tables to dynamically generate schema descriptions, enabling agents to construct valid queries and understand data relationships.
Unique: Queries Supabase's PostgreSQL information_schema directly through MCP tools, enabling agents to dynamically discover and adapt to database schemas without pre-configured schema definitions
vs alternatives: More flexible than static schema definitions because it reflects live database state, including recent migrations or schema changes
Enforces Supabase Row-Level Security policies within agent queries, ensuring that agents can only access rows permitted by RLS rules defined in the database. Evaluates policies based on authenticated user context (JWT claims, user ID) and applies WHERE clause filters automatically, preventing unauthorized data access at the database layer rather than application layer.
Unique: Delegates authorization enforcement to PostgreSQL RLS policies rather than implementing authorization in agent code, ensuring that data access rules are centralized and cannot be bypassed by agent logic
vs alternatives: More secure than application-level authorization because RLS is enforced at the database layer, preventing accidental data leaks even if agent code has bugs
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